Meta-Llama-3.1-8B-Instruct-Summarizer Open-Source Text Summarization Model - Enabling Efficient Condensation and Extraction of Multilingual Texts

Meta Llama 3.1 8B Instruct Summarizer

Developed by raaec

A multilingual text summarization model fine-tuned based on Llama 3.1, supporting English, Spanish, and Chinese, utilizing an optimized Transformer architecture and enhanced output through RLHF technology.

Large Language Model

Transformers

Open Source License:Apache-2.0 #Multilingual Summarization #Large Parameter Optimization #Instruction Fine-tuning

Downloads 305

Release Time : 7/30/2024

Model Overview

A generative model specifically trained for text summarization tasks in English, Spanish, and Chinese, based on an optimized autoregressive Transformer architecture, with output quality improved through supervised fine-tuning and reinforcement learning from human feedback.

Model Features

Multilingual Support

Specially optimized for text summarization tasks in English, Spanish, and Chinese, with cross-lingual processing capabilities.

RLHF Optimization

Through reinforcement learning from human feedback, the model's outputs better align with human preferences for utility and safety.

Scalable Parameters

Offers three parameter scale versions (8B/70B/405B) to accommodate different computational resource requirements.

Model Capabilities

Multilingual Text Summarization

Long-text Comprehension

Semantic Compression

Use Cases

Content Generation

News Summarization

Automatically generates core content summaries from news articles

Preserves key information while compressing the original text by 60-70% in length

Knowledge Management

Technical Documentation Summarization

Extracts key points from lengthy technical documents

🚀 Hugging Face Summarization Model

This model is a fine - tuned version of Llama 3.1, designed for text summarization in English, Spanish, and Chinese, revolutionizing the field of natural language processing.

🚀 Quick Start

This README provides information about a fine - tuned text summarization model based on Llama 3.1. It details the model's features, development, and architecture.

✨ Features

Multilingual Support: Trained in English, Spanish, and Chinese, enabling cross - language text summarization.
Powered by Llama 3.1: Leverages the advanced capabilities of the Meta Llama 3.1 collection of multilingual large language models.
Optimized for Dialogue: The instruction - tuned text - only models are optimized for multilingual dialogue use cases and perform well on industry benchmarks.

📦 Installation

No installation steps were provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples were provided in the original document, so this section is skipped.

📚 Documentation

Model Information

This is a fine - tuned version of Llama 3.1 trained in English, Spanish, and Chinese for text summarization.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction - tuned generative models in 8B, 70B, and 405B sizes (text in/text out). The Llama 3.1 instruction - tuned text - only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open - source and closed chat models on common industry benchmarks.

Property	Details
Model Developer	Meta
Model Architecture	Llama 3.1 is an auto - regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine - tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

🔧 Technical Details

No specific technical details beyond the model architecture were provided in the original document, so this section is skipped.

📄 License

The model is licensed under the Apache - 2.0 license.

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